Tree Physiology Optimization tuning rule for Proportional-Integral control

This paper presents a tuning correlation for ProportionalIntegral (PI) controller parameters using Tree Physiology Optimization algorithm (TPO). "IPO is a metitheuristic algorithm that has parallel search strategy inspired from plant growth system. The parallel search is referred to the plant branches and leaves that able to diversify the search space and therefore finding promising results in much faster iterations. The exploration is amplified from roots growth counterparts. In the proposed method, a tuning correlation of PI-controller using "IPO is established and the perfonnances of correlated parameters are compared with Ciancone correlation. The idea of correlation tuning is to reduce the optimization tune consumption and engineering efforts in controller tuning. The results shown that the tuning correlation of TPO is able to find good PI parameters with lesser error.